GitHub / abs711 / Optimizing-representations-for-gait-generation
Using encoder-decoder neural networks to learn representations of personal walking style, and generating person-specific gait for desired activities.
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PURL: pkg:github/abs711/Optimizing-representations-for-gait-generation
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License: mit
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Size: 18.6 KB
Dependencies parsed at: Pending
Created at: over 2 years ago
Updated at: almost 2 years ago
Pushed at: almost 2 years ago
Last synced at: almost 2 years ago
Topics: autoencoders, deep-learning, gait-recognition, person-recognition, regularization-methods, representation-learning, style-transfer